CN206147630U - Neural image diagnosis device - Google Patents

Abstract

The utility model relates to a neural image diagnosis device, including neural image collection equipment, the treater, the display, input device, server and mutual equipment, treater and server pass through the internet access, neural image collection equipment includes that the image adopts the storage module, the image output module, and the treater includes the display module, processing module, receiving and transmitting module and input module, server include the database, compare the module, transceiver module and interaction module, the storage module is adopted to the image for gather neural image, back, input processor are gathered through neural image collection equipment to neural image to shows on the display, send neural image through input device and compare for the server, and the result after will comparing returns the treater, show by the display, the help medical personnel or have the relevant knowledge personnel's study, diagnose the disease, confirm suitable therapeutic method. The utility model has the advantages of be used for study, supplementary diagnosis, information is shared to the automatic request.

Description

Neuroimaging diagnostic device

Technical field

The utility model is related to medical diagnostic systems, it is particularly a kind of for learning, the neuroimaging diagnosis of auxiliary diagnosis Device.

Background technology

With the nervous system Image detection technology such as the continuous progress of medical science, brain, spinal cord, such as 3-dimensional image, CT, The technologies such as MRI (T1, T2, DWI, SWI), MRS, MRA, MRV, skull cerebrovascular DSA, PET obtain greater advance.Different images Detection technique development is different, and principle is different, and along with the otherness of various pathologies, such as central nerve neuroma is divided into nerve Epithelial neoplasms, cranium brain and spinal nerve tumour, meningeal tumor, other class tumours related to meninx, lymthoma and hematopoiesis system The big class such as system tumour, germinoma, sellar tumour, metastatic tumo(u)r, the modal cerebrovascular disease of elderly population is divided into Cerebral hemorrhage, subarachnoid hemorrhage, cerebral infarction are waited indefinitely type, wherein many disease primary clinical manifestations are not true to type, iconography picture Easy mistaken diagnosis during emergency treatment, makes young and middle-aged doctor, basic unit medical personnel be difficult to hold.

CT is that the certain thickness aspect in human body portion is scanned with X-ray beam, and by detector the X through the aspect is received Line, after being changed into visible ray, from opto-electronic conversion electric signal is changed into, then Jing analog/digital converters switch to numeral, are input into computer Process.MRI is a kind of imaging technique using atomic nucleus in the reconstructed imaging of signal produced by the internal resonance of magnetic field.Nuclear magnetic resonance is A kind of nuclear physics phenomenon, examination scope covers substantially each system of whole body, now rename as magnetic resonance imaging.Participate in MRI imagings Factor it is more, contain much information and be imaged different from existing various iconographies, have very big superiority and should in diagnosing the illness It is exactly briefly the image formation basic theory medically that nuclear magnetic resonance (NMR) is formed with potentiality NMR spectrum figure --- be Human body is placed in special magnetic field, with hydrogen nuclei in radio frequency pulse excitation human body, causes hydrogen nuclei to resonate, and Energy absorption.After radio-frequency pulse is stopped, hydrogen nuclei sends electric signal by CF, and the energy of absorption is discharged Come, included by external recipient, the process of Jing electronic computers obtains image.PET is aobvious for PET-Positron emission computed tomography As (, it is the more advanced clinical examination image technology of the field of nuclear medicine.Method is, by certain material, usually biological life generation Necessary material in thanking, such as：Glucose, protein, nucleic acid, aliphatic acid, short-life radionuclide on mark injects human body Afterwards, when reflecting vital metabolic activity for aggregation of the material in metabolism, so as to reach the purpose of diagnosis.

With the constantly progress such as informationization, database, the communication technology, image recognition technology, semiconductor technology, internet Popularization, the further fusion of each subject is that the propagation of information is taken a firm foundation.For example (increasing income) distribution is permitted based on BSD Cross-platform computer vision library Open CV (Open Source Computer Vision Library), may operate in In Linux, Windows and Mac OS operating systems.Its lightweight and efficiently-by a series of C functions and a small amount of C++ class structure Into, while there is provided the interface of the language such as Python, Ruby, MATLAB, in terms of realizing image procossing and computer vision Many general-purpose algorithms.Open CV are write with C Plus Plus, and its primary interface is also C Plus Plus, but are still remained a large amount of C language interface.Also there are substantial amounts of Python, the interface of Java and MATLAB/OCTAVE in the storehouse.The API of these language connects Mouth function can be obtained by online document.Nowadays also provide for C#, the support of Ch, Ruby.All new exploitations and algorithm All it is to use C++ interfaces.Again such as face recognition technology, through the development of nearly 40 years, achieves very big development, has emerged big The recognizer of amount.These algorithms are related to face widely, including pattern-recognition, image procossing, computer vision, artificial intelligence Numerous subjects such as energy, statistical learning, neutral net, wavelet analysis, subspace theory and manifold learning.So it is difficult to being united with one One standard is classified to these algorithms.Can be divided into based on the recognition of face of still image according to the difference of input data form With the recognition of face based on video image.Because being equally applicable to based on video image based on the face recognition algorithms of still image Recognition of face, so only those just belong to the recognition of face calculation based on video image using the recognizer of temporal information Method.

Existing medical resource distributes unbalanced, information asymmetry, personal resource limitation so that medical personnel etc. have The personnel of relevant professional knowledge are learning, during putting into practice, diagnosing, lack effective means, especially neuroimaging diagnosis Clinical diagnosis and study, due to the complexity of nervous system regulation and control, individual difference is big, and direct ornamental is poor, Pathologic specimen With the difficult point that the low feature of biopsy acquisition rate always is clinical diagnosis and treatment and study.Need it is a kind of for learning, auxiliary diagnosis Neuroimaging diagnostic device.

Utility model content

The purpose of this utility model be to provide it is a kind of for learning, the neuroimaging diagnostic device of auxiliary diagnosis.

Neuroimaging diagnostic device, including：Neuroimaging collecting device, processor, display, input equipment, server And interactive device, the processor and server pass through network connection；

The neuroimaging collecting device adopts storage module and image output module including image；

The processor includes display module, processing module, receives sending module and input module；

The server includes database, comparing module, transceiver module and interactive module；

Image adopts storage module, for gathering neuroimaging；

Image output module, connects respectively image and adopts storage module and receive sending module；

Processing module, connects respectively display module, receives sending module and input module, and the display module connection shows Device, the input module connects input equipment；

Comparing module, compares, the result for comparing is anti-for the data in the picture and database that collect Feed server, database, transceiver module and interactive module are connected respectively, the transceiver module connection receives sending module, institute State interactive module connection interactive device.

The network is wired or wireless.

The processor is provided with the picture processing module of adjustment collection image, respectively with reception sending module and input module Connection.

The neuroimaging collecting device, processor, display and input equipment are mobile phone, and the neuroimaging collection sets The standby camera installation in mobile phone, the display and input equipment are the liquid crystal apparatus with touch screen, display function, the place Reason device is the CPU and storage device of interior of mobile phone.

The input equipment includes mouse or keyboard.

The display is liquid crystal display.

The interactive device is mouse, keyboard and touch-screen.

The neuroimaging collecting device, processor, display and input equipment be set to it is collapsible, be easy to mobile case Body, the one side after the casing is opened arranges display, and another side arranges collecting device and input equipment, and the reception sends mould Block is provided with the interface of connection network.

The input equipment is additionally provided with a humanoid model, and the humanoid model is connected to processor, and be divided into two with On region, each region is provided with trigger switch, and each trigger switch connects processor by humanoid model.

The utility model includes：Neuroimaging collecting device, processor, display, input equipment, server and interaction set Standby, processor and server pass through network connection；Neuroimaging collecting device adopts storage module including image, image output module, Processor includes display module, processing module, receives sending module and input module, and server includes database, comparing module, Transceiver module and interactive module；Image adopts storage module, for gathering neuroimaging；Neuroimaging is through neuroimaging collecting device Afterwards, input processor, and show over the display, neuroimaging is sent to by server by input equipment and is compared, and Result after comparison is returned to into processor, is shown by display, go out shown by neuroimaging that patient may while showing Illness and corresponding treatment method, help medical personnel or the personnel with relevant knowledge study, diagnosis illness, determine close Suitable treatment method.The utility model has for learning, auxiliary diagnosis, the advantage of automatically retrieval sharing information.

Description of the drawings

Fig. 1 is the annexation figure of the present invention；

Fig. 2 is the connection figure of the present invention；

Fig. 3 is the flow chart of the present invention；

Schematic diagram when Fig. 4 is opened for folding-type box；

Schematic diagram when Fig. 5 closes for folding-type box；

Fig. 6 is the main display interface of display；

In figure：1st, neuroimaging collecting device, 2, processor, 3, display, 4, input equipment, 5, server, 6, interaction Equipment, 11, image adopt storage module, 12, image output module, 21, display module, 22, processing module, 23, receive sending module, 24th, input module, 51, database, 52, comparing module, 53, transceiver module, 54, interactive module.

Specific embodiment

Below in conjunction with the drawings and specific embodiments, the utility model is described further.

Embodiment 1：

Neuroimaging diagnostic device, including：Neuroimaging collecting device 1, processor 2, display 3, input equipment 4, clothes Business device 5 and interactive device 6, processor 2 and server 5 pass through network connection；Neuroimaging collecting device 1 adopts Chu Mo including image Block 11 and image output module 12；Processor 2 includes display module 21, processing module 22, receives sending module 23 and input mould Block 24；Server 5 includes database 51, comparing module 52, transceiver module 53 and interactive module 54；Image adopts storage module 11, uses In collection neuroimaging；Image output module 12, connects respectively image and adopts storage module 11 and receive sending module 23；Processing module 22, display module 21 is connected respectively, sending module 23 and input module 24 are received, the connection display 3 of display module 21 is input into mould Block 24 connects input equipment 4；Comparing module 52, compare for the data in the picture and database 51 that collect, The result of comparison is fed back to into server 5, database 51, transceiver module 53 and interactive module 54, transceiver module 53 are connected respectively Connection receives sending module 23, the connection interactive device 6 of interactive module 54.

Network is wired or wireless.Processor 2 is provided with the picture processing module of adjustment collection image, sends with receiving respectively Module 23 and input module 24 connect.Neuroimaging collecting device 1, processor 2, display 3 and input equipment 4 are mobile phone, refreshing Jing image modalities 1 are the camera installation in mobile phone, and display 3 and input equipment 4 are the liquid crystal with touch screen, display function Equipment, processor 2 is the CPU and storage device of interior of mobile phone.Input equipment 4 includes mouse or keyboard.Display 3 is liquid crystal Show device.Interactive device 6 is mouse, keyboard and touch-screen.Neuroimaging collecting device 1, processor 2, display 3 and input equipment 4 be set to it is collapsible, be easy to mobile casing, the one side after casing is opened arranges display 3, and another side arranges the He of collecting device 1 Input equipment 4, receives the interface that sending module 23 is provided with connection network.Input equipment 4 is provided with a humanoid model, humanoid model Processor 2 is connected to, and is divided into plural region, each region is provided with trigger switch, each trigger switch is by humanoid Model connects processor 2.

CT, MRI (T1, T2, DWI, SWI), the image of MRS, MRA, MRV, PET neuroimaging is by neuroimaging collecting device 1 collection, and be stored in adopt storage module 11 in, by image output module 12 be sent to reception sending module 23.The place of processor 2 Reason module 22 receives to receive the neuroimaging that sending module 23 sends, and is shown on the display 3 by display module 21, uses Person obtains the relevant information of neuroimaging by display 3, and adjustment, the information input equipment 4 for selecting are input to into input mould Block 24, then processing module 22 is input to, while being shown by display 3 so that user understands operational circumstances.Receive sending module 23 transceiver modules 53 that neuroimaging is sent to server 5 by network, are re-fed into comparing module 52, and comparing module 52 passes through The comparison of data in process and database 51 to neuroimaging, by existing neural shadow related to neuroimaging in database 51 The information such as picture, existing diagnostic method, case, is sent to transceiver module 53, in returning to processor 2, and is displayed in display 3 On, for medical personnel or the reference of the people with relevant professional knowledge, study, auxiliary diagnosis, so as to improve study, diagnosis effect Rate.The manager of server 5 is changed by interactive device 6, management server, and the information of interactive device 6 passes through interactive module 54 Comparing module 52 is sent into, and then management and control is carried out to database 51, while can also be carried out to patient by interactive device 6 long-range real-time The consultation of doctors.

The distribution of nervous system is set on humanoid model, for different neurological regions, trigger switch is respectively provided with, in data Known case and pathological data are stored in storehouse 51, when neurological region is pressed, the data in database 51 are found out, and Feed back to and shown on display 3.Humanoid model can be opened, the Substance P situation of the display inside of human body after opening, convenient to learn Practise and auxiliary diagnosis.

The main display interface of display 3：One interface display neuroimaging, separately there is 4～6 interface displays and the neural shadow As the image that other related imaging methods show, when the neuroimaging is clicked on, the son that can enter the neuroimaging shows boundary Face, is processed the neuroimaging, analysis.When other interfaces are clicked on, pathology and case under the imaging methods can be entered Details interface.

When picture size, angle when neuroimaging be not good, also picture can be entered by processing module 22 and input equipment 4 Row is processed, and adjustment picture is to most preferably, then is transmitted.Display 3 is set to windows display function, can be 4-6 display windows, Voluntarily select as needed, such as patient has clapped a Cranial Computed Tomography prompting bleeding, and several windows occur successively if head after scanning After portion's bleeding CT, MRI-T1, MRI-T2, DSA angiogram it is various it is different check it is possible that image picture, and accordingly Principle of reatment.

When comparing module 52 is processed neuroimaging, due to due to neuroimaging image-forming principle, picture again Jing Cross and take pictures, the aberration of neuroimaging is little, need emphasis to treat during process.Neuroimaging is rest image, it is not necessary to consider that dynamic becomes Change, if neuroimaging is two dimension, it is not necessary to dimensionality reduction.

Specific processing mode is all pixels in traversal neuroimaging sample, the color in each region is determined, so as to divide Each region, reuses comparing module 52 and compares, and carries out with the neuroimaging without pathology, various pathologies in database 51 Compare, determine the pathology of neuroimaging sample, being diagnosed to be the possibility illness of neuroimaging sample, and recall the information of correlation is carried out Feedback.If the picture quality of neuroimaging sample is not good, in addition it is also necessary to adaptive function, the pixel for traversing is carried out Memory, and arranges suitable tolerance, so as to tell panel section, anatomical part, and lesion portion, then by neuroimaging sample This data are compared with database 51.

For example read the pixel of a redness, behind or red just explanation be same piece, read after non-redness again Redness is read, explanation is a new block, can call the Get Pixel methods in Open CV, or flood fill algorithms, Or find Contour algorithms, because the traversal of the Get Pixel methods given tacit consent to is slower, can be calculated using following Get Pixel Method, specific code is as follows：

Embodiment 2：

When neuroimaging collecting device 1, processor 2, display 3 and input equipment 4 are mobile phone, neuroimaging collecting device 1 is the camera installation in mobile phone, and display 3 and input equipment 4 are the liquid crystal apparatus with touch screen, display function, and processor 2 is The CPU and storage device of interior of mobile phone.The photo of neuroimaging sample is shot by mobile phone, in being stored in the memory of mobile phone, And shown by the display screen of mobile phone, the correlation letter that user can also be by the liquid crystal display of mobile phone, keyboard to neuroimaging sample Breath is configured, for example adjust picture size, angle, picture type (CT, MRI (T1, T2, DWI, SWI), MRS, MRA, MRV, PET), the position (the concrete part of brain or vertebra) of picture.Again server is sent to by wireless network by mobile phone Processed, specific picture processing mode as above.The processing procedure of mobile phone side can be separately provided one should program, from And improve treatment effeciency and the convenience for processing.

General principle of the present utility model, principal character and advantage has been shown and described above.The technical staff of the industry It should be appreciated that the utility model is not restricted to the described embodiments, the simply explanation described in above-described embodiment and specification is originally The principle of utility model, on the premise of without departing from the utility model spirit and scope the utility model also have various change and Improve, these changes and improvements are both fallen within the range of claimed the utility model.The claimed scope of the utility model by Appending claims and its equivalent are defined.

Claims (9)

1. neuroimaging diagnostic device, it is characterised in that include：Neuroimaging collecting device (1), processor (2), display (3), input equipment (4), server (5) and interactive device (6), the processor (2) and server (5) are by network connection；

The neuroimaging collecting device (1) adopts storage module (11) and image output module (12) including image；

The processor (2) includes display module (21), reception sending module (23) and input module (24)；

The server (5) includes database (51), comparing module (52) and transceiver module (53)；

Image adopts storage module (11), for gathering neuroimaging；

Image output module (12), connects respectively image and adopts storage module (11) and receive sending module (23)；

The display module (21) connection display (3), the input module (24) connection input equipment (4)；

Comparing module (52), the knot compared for the data in the picture and database (51) that collect, will compare Fruit feeds back to server (5), and database (51) is connected respectively, and transceiver module (53), transceiver module (53) the connection reception is sent out Send module (23).

2. neuroimaging diagnostic device according to claim 1, it is characterised in that the network is wired or wireless.

3. neuroimaging diagnostic device according to claim 1, it is characterised in that the processor (2) is provided with adjustment and adopts The picture processing module of collection image, is connected respectively with reception sending module (23) and input module (24).

4. neuroimaging diagnostic device according to claim 1, it is characterised in that the neuroimaging collecting device (1), Processor (2), display (3) and input equipment (4) are mobile phone, and the neuroimaging collecting device (1) is the photograph in mobile phone Equipment, the display (3) and input equipment (4) are the liquid crystal apparatus with touch screen, display function, and the processor (2) is The CPU and storage device of interior of mobile phone.

5. neuroimaging diagnostic device according to claim 1, it is characterised in that the input equipment (4) is including mouse Or keyboard.

6. neuroimaging diagnostic device according to claim 1, it is characterised in that the display (3) is liquid crystal display Device.

7. neuroimaging diagnostic device according to claim 1, it is characterised in that the interactive device (6) is mouse, key Disk and touch-screen.

8. neuroimaging diagnostic device according to claim 1, it is characterised in that the neuroimaging collecting device (1), Processor (2), display (3) and input equipment (4) be set to it is collapsible, be easy to mobile casing, the casing open after one Face arranges display (3), and another side arranges collecting device (1) and input equipment (4), reception sending module (23) company of being provided with Connect the interface of network.

9. neuroimaging diagnostic device according to claim 1, it is characterised in that the input equipment (4) is additionally provided with Individual humanoid model, the humanoid model is connected to processor (2), and is divided into plural region, and each region is provided with triggering Switch, each trigger switch connects processor (2) by humanoid model.